[Home](https://www.selecthub.com/) \> [Business Intelligence](https://www.selecthub.com/category/business-intelligence/) \> [Business Intelligence Tools](https://www.selecthub.com/c/business-intelligence-tools/) \> KNIME Categories: * [Business Intelligence Tools](https://www.selecthub.com/c/business-intelligence-tools/) * [Big Data Analytics Tools](https://www.selecthub.com/c/big-data-analytics-tools/) * [...](#) ## What Is KNIME? **Industry Specialties:** Serves all industries KNIME is an open-source end-to-end data analytics solution. It utilizes visual workflows with drag-and-drop functionality and thousands of nodes to lessen the data analytics learning curve data, with more than 1,800 prebuilt default workflows for streamlined setup. It allows for data ingestion, preparing, cleansing, analyzing and visualizing. It can be scaled for deeper analytics through integrations with sophisticated data modeling capabilities. It can be hosted on-premise or in the cloud through Microsoft Azure. PRICE $ $ $ $ $ COMPANY SIZE S M L DEPLOYMENT PLATFORM [ Try Before You Buy. Request a Free Demo Today! Request Demo It's completely free! ](https://pmo.selecthub.com/get-product-demo/?category=Business+Intelligence+Tools&product%5Fname=KNIME&origin%5Furl=https%3A%2F%2Fwww.selecthub.com%2Fp%2Fbusiness-intelligence-tools%2Fknime%2F&product%5Flogo=https%3A%2F%2Fcdn.selecthub.com%2Fproducts%2Ff29a179746902e331572c483c45e5086-a8853d8444e01f0cc67fa87581718911%2Fresources%2Fnormal%2Flogo.png%3F1693318075) [Contributors](#view-contributors) ![Samprit Majumdar]() Written by Samprit Majumdar Technical Content Writer [ Read Bio](https://www.selecthub.com/author/samprit/) ![Hunter Lowe]() Edited by Hunter Lowe Content Editor [ Read Bio](https://www.selecthub.com/author/hunter-lowe/) User Sentiment i ![User satisfaction level icon: great]() Based on 236 reviews: Add your rating: ![Screenshots]()![Screenshots]()![Screenshots]()![Screenshots]() Product Screenshots and Videos ## #13 KNIME is ranked #13 in the Business Intelligence Tools product directory based on the latest available data collected by SelectHub. Compare the leaders with our In-Depth Report. [ Get the Report Now](https://pmo.selecthub.com/bi-report-pd-vers?category%5Fslug=business-intelligence-tools&product%5Fslug=knime&slug=knime&product%5Fname=KNIME&category=Business+Intelligence+Tools&origin%5Furl=https%3A%2F%2Fwww.selecthub.com%2Fp%2Fbusiness-intelligence-tools%2Fknime%2F) ## KNIME Pricing Based on our most recent analysis, KNIME pricing starts at $99 (Monthly, Freemium). [Get Price Quote](https://pmo.selecthub.com/get-product-pricing/?category=Business+Intelligence+Tools&product%5Fname=KNIME&origin%5Furl=https%3A%2F%2Fwww.selecthub.com%2Fp%2Fbusiness-intelligence-tools%2Fknime%2F&product%5Flogo=https%3A%2F%2Fcdn.selecthub.com%2Fproducts%2Ff29a179746902e331572c483c45e5086-a8853d8444e01f0cc67fa87581718911%2Fresources%2Fnormal%2Flogo.png%3F1693318075&price=2) Price $ $ $ $ $ i Starting From $99 Pricing Model Monthly, Freemium Free Trial Yes ([Request for Free](https://pmo.selecthub.com/free-trial/?product%5Fname=KNIME&category=Business+Intelligence+Tools&product%5Flogo=https://cdn.selecthub.com/products/f29a179746902e331572c483c45e5086-a8853d8444e01f0cc67fa87581718911/resources/normal/logo.png?1693318075)) ## Training Resources KNIME is supported with the following types of training: Documentation In Person Live Online Videos Webinars ## Support The following support services are available for KNIME: Email Phone Chat FAQ Forum Help Desk Knowledge Base Tickets Training 24/7 Live Support ## KNIME Benefits and Insights Why use KNIME? ### Key differentiators & advantages of KNIME * **Open-Source:** Join a network of thousands of users, enabling collaboration and support. The source code is free to download and access. * **Free To Use:** Save money by getting access to all of the platform’s features for free. Licensed productivity and collaboration extensions are available at a cost. * **Increased Business Intelligence:** Get digestible, actionable data to make informed business decisions. Aggregating large datasets into predictive and prescriptive models via comprehensive visualizations and summary statistics gives users projections for the best course of action. * **Scalable:** Obtain access to big data by scaling up the project in-platform. Integrations to distributed and multi-threaded data processing allow projects to grow. * **End-To-End Analytics:** It is capable of handling some tasks from start to finish without integrations. Additional integrations may be required for increasing scale and completing more sophisticated analytics. ### Industry Expertise The KNIME platform originated in 2004 at the University of Konstanz in Germany. It has more than 15,000 regular users in at least 60 countries, spanning industries such as pharmaceutical, CRM, financial analysis and life sciences. ## KNIME Reviews Based on our most recent analysis, KNIME reviews indicate a 'great' User Satisfaction Rating of 89% based on 236 user reviews from 4 recognized software review sites. ![User satisfaction level icon: great]() 236 reviews 89% of users would recommend this product ### Synopsis of User Ratings and Reviews Based on an aggregate of KNIME reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst. #### Pros * **Functionality:** It provides a comprehensive set of nodes and functions to process large quantities of data, as noted by 69% of users who referred to functionality. * **User Friendly:** It is intuitive and easy to use, as noted by 79% of reviewers who refer to ease of use. * **Connectivity:** Around 77% of users who talked about connectivity mentioned its ability to seamlessly connect and integrate with multiple sources. * **Cost:** All users were happy that the solution is available free of charge, with no data limits. #### Cons * **Performance:** Nearly 95% of reviewers who mentioned performance said that the solution runs slowly and uses too much CPU and memory. * **Visualization:** Approximately 67% of users who specified visualization talked about its lack of proper visualization options. * **Support:** About 67% of users who reviewed support mentioned how hard it is to get proper documentation or support. * **Learning Curve:** KNIME has a steep learning curve, according to about 64% of users who mentioned the learning curve. #### Researcher's Summary: KNIME is a robust open-source solution with cross-platform interoperability. It integrates with a range of software, such as JS, R, Python and Spark. With a variety of nodes and functions, it can process large datasets with a decent level of control in each step. Workflows are displayed as connected nodes, making it easy to isolate and fix specific steps. It also contains built-in tools to create and test supervised and unsupervised machine learning models. Users found the UI very intuitive and flexible. On the flip side, they found the tool visually lacking and primitive. The system also has performance and stability issues. Processing big data is very time consuming since the platform isn’t cloud-based. Users reported excessive memory usage as well. It also lacks reporting or monitoring features. Decent technical knowledge is required to fully leverage its capabilities. ## Key Features * **Sharing and Collaboration:** KNIME Hub is an online repository for existing workflows, nodes and extensions that can be easily installed into a user’s workflow. Upload workflows and search for the components needed for projects. * **In-database or Distributed Processing:** Process data in-database or through a distributed cluster like Apache Spark for increasing scale. It has prebuilt workflows for in-database processing, like SQL Servers. * **Model Predictions and Validation:** Using machine learning and AI, produce predictive and prescriptive models. Use performance metrics such as AUC and R2 to verify models. * **Visual Workflows:** Using a drag-and-drop interface, compose a workflow with little to no coding. Prebuilt generic workflows and components can be downloaded from KNIME Hub. * **Data Management:** Handles all steps of the extract, transform and load processes. It can ingest, blend, prepare, cleanse and store structured and unstructured data. It can combine data types, including PDF, JSON, CSV and unstructured types like documents and images. * **Data Visualizations:** Compile analyses into reports with heat graphs, bar charts, scatter plots and more. Visualizations can be exported as PDFs, PowerPoints or other formats. * **Tool Blending:** Tools with unique domains can be combined within a workflow via native nodes. These include Python or R scripting, processing connectors, machine learning and AI. ## Limitations Some of the product limitations include: * It does not offer monthly billing, only annual * It requires five users and eight cores to qualify for an annual subscription * Lacks integration with Jupyter Notebooks * Doesn’t offer phone support * Error messages may cause interruptions. * Lacks customization for default nodes ## Suite Support Because of the open-source nature of KNIME, it relies heavily on a community forum for support. The forum has nearly 10,000 users, including KNIME personnel, to assist users. Traditional support is described below. _mail\_outline_Email:Email support is fulfilled by the ticketing system described below. _phone_Phone: Phone support is not provided. _school_Training: The vendor offers a “Learning” section on its website, offering FAQs, documentation, white papers, webinars and training courses. Courses take place over a period of time and vary from free or for a price. Certification is available. _local\_offer_Tickets: Users can submit a support ticket through the “Contact” page on the vendor’s website. ![Banner of Pricing guide for KNIME]() ## Pricing & Cost Details See the Price/User for the top business intelligence tools… plus the most important considerations and questions to ask when shopping. See Pricing Details ## Compare to Other Leading Software These are the top products most often compared. Generating Scorecard... Compare to KNIME You can choose 4 products to compare [ SAS Viya ](https://www.selecthub.com/p/data-analytics-software/sas-viya/) [ IBM Watson Studio ](https://www.selecthub.com/p//ibm-watson-studio/) [ Spotfire ](https://www.selecthub.com/p/data-visualization-tools/spotfire/) [ Dataiku ](https://www.selecthub.com/p//dataiku/) [ H2O.ai ](https://www.selecthub.com/p//h2o-ai/) [ SAP Analytics Cloud ](https://www.selecthub.com/p/business-intelligence-tools/sap-analytics-cloud/) [ Oracle Analytics Cloud ](https://www.selecthub.com/p/data-analytics-software/oracle-analytics-cloud/) [ RapidMiner ](https://www.selecthub.com/p/data-analytics-software/rapidminer/) [ Alteryx ](https://www.selecthub.com/p/big-data-analytics-tools/alteryx/) Generating Scorecard... Compare to KNIME ## Head-to-Head Comparison ![KNIME Software Tool]() vs * [BusinessObjects](https://www.selecthub.com/business-intelligence-tools/knime-vs-businessobjects/) * [Clear Analytics](https://www.selecthub.com/business-intelligence-tools/knime-vs-clear-analytics/) * [Cognos Analytics](https://www.selecthub.com/business-intelligence-tools/cognos-analytics-vs-knime/) * [CRM Analytics](https://www.selecthub.com/business-intelligence-tools/knime-vs-crm-analytics/) * [datacube](https://www.selecthub.com/business-intelligence-tools/knime-vs-datacube/) * [Datameer](https://www.selecthub.com/business-intelligence-tools/knime-vs-datameer/) * [Domo](https://www.selecthub.com/business-intelligence-tools/domo-vs-knime/) * [Dundas BI](https://www.selecthub.com/business-intelligence-tools/knime-vs-dundas-bi/) * [eazyBI](https://www.selecthub.com/business-intelligence-tools/knime-vs-eazybi/) * [Fractal](https://www.selecthub.com/business-intelligence-tools/knime-vs-fractal-analytics/) * [GoodData](https://www.selecthub.com/business-intelligence-tools/knime-vs-gooddata/) * [IBM Watson Analytics](https://www.selecthub.com/business-intelligence-tools/knime-vs-ibm-watson-analytics/) * [Infor Birst](https://www.selecthub.com/business-intelligence-tools/knime-vs-birst/) * [InfoZoom](https://www.selecthub.com/business-intelligence-tools/knime-vs-infozoom/) * [Knowi](https://www.selecthub.com/business-intelligence-tools/knime-vs-knowi/) * [Looker](https://www.selecthub.com/business-intelligence-tools/looker-vs-knime/) * [Mathematica](https://www.selecthub.com/business-intelligence-tools/mathematica-vs-knime/) * [Metabase](https://www.selecthub.com/business-intelligence-tools/knime-vs-metabase/) * [Mode](https://www.selecthub.com/business-intelligence-tools/knime-vs-mode-analytics/) * [Oracle Business Intelligence](https://www.selecthub.com/business-intelligence-tools/knime-vs-oracle-bi/) * [Panintelligence](https://www.selecthub.com/business-intelligence-tools/knime-vs-panintelligence/) * [Phocas](https://www.selecthub.com/business-intelligence-tools/knime-vs-phocas/) * [Power BI](https://www.selecthub.com/business-intelligence-tools/power-bi-vs-knime/) * [Pyramid Analytics](https://www.selecthub.com/business-intelligence-tools/knime-vs-pyramid-analytics/) * [Qlik Sense](https://www.selecthub.com/business-intelligence-tools/knime-vs-qlik-sense/) * [QuickSight](https://www.selecthub.com/business-intelligence-tools/quicksight-vs-knime/) * [SAP Analytics Cloud](https://www.selecthub.com/business-intelligence-tools/knime-vs-sap-analytics-cloud/) * [SAP Business Data Cloud](https://www.selecthub.com/business-intelligence-tools/knime-vs-sap-business-data-cloud/) * [SAS Business Analytics](https://www.selecthub.com/business-intelligence-tools/knime-vs-sas-business-analytics/) * [Sigma Computing](https://www.selecthub.com/business-intelligence-tools/knime-vs-sigma-computing/) * [Strategy One](https://www.selecthub.com/business-intelligence-tools/strategy-one-vs-knime/) * [Tableau](https://www.selecthub.com/business-intelligence-tools/tableau-vs-knime/) * [TARGIT](https://www.selecthub.com/business-intelligence-tools/knime-vs-targit/) * [Yellowfin BI](https://www.selecthub.com/business-intelligence-tools/knime-vs-yellowfin-bi/) * [Zoho Analytics](https://www.selecthub.com/business-intelligence-tools/knime-vs-zoho-analytics/) ## Pricing for Business Intelligence Tools ![Banner of Pricing guide for Business Intelligence Tools]() ## Similar Products Here are the most similar products to KNIME. [ White Cup BI ](https://www.selecthub.com/p/business-intelligence-tools/white-cup-bi/) [ bipp ](https://www.selecthub.com/p/business-intelligence-tools/bipp-io/) [ DeltaMaster ](https://www.selecthub.com/p/business-intelligence-tools/deltamaster/) [ Slemma ](https://www.selecthub.com/p/business-intelligence-tools/slemma/) [ Halo BI ](https://www.selecthub.com/p/business-intelligence-tools/halo-bi/) [ Omniscope ](https://www.selecthub.com/p/business-intelligence-tools/omniscope/) [ Intellicus ](https://www.selecthub.com/p/business-intelligence-tools/intellicus/) [ Clear Analytics ](https://www.selecthub.com/p/business-intelligence-tools/clear-analytics/) [ Yellowfin BI ](https://www.selecthub.com/p/business-intelligence-tools/yellowfin-bi/) [ eazyBI ](https://www.selecthub.com/p/business-intelligence-tools/eazybi/) ## About the Contributors The following expert team members are responsible for creating, reviewing, and fact checking the accuracy of this content. [ ](https://www.selecthub.com/author/samprit/) Written by [Samprit Majumdar](https://www.selecthub.com/author/samprit/) Technical Content Writer Samprit Majumdar is a Content Writer and Market Analyst at Selecthub. He graduated in Computer Science before going on to do a Master's in Communication with a specialization in research. He is a daydreamer who likes letting words and images play around in his head. In his free time, he’s usually scouting for dog videos on the internet, playing obscure RPGs, butchering song lyrics loudly or debating passionately on politics. [See Full Bio](https://www.selecthub.com/author/samprit/) [ ](https://www.selecthub.com/author/hunter-lowe/) Edited by [Hunter Lowe](https://www.selecthub.com/author/hunter-lowe/) Content Editor Hunter Lowe is a Content Editor, Writer and Market Analyst at SelectHub. His team covers categories that range from ERP and business intelligence to transportation and supply chain management. Hunter is an avid reader and Dungeons and Dragons addict who studied English and Creative Writing through college. In his free time, you'll likely find him devising new dungeons for his players to explore, checking out the latest video games, writing his next horror story or running around with his daughter. [See Full Bio](https://www.selecthub.com/author/hunter-lowe/) Your review has been submitted and should be visible within 24 hours. Review Title Pros Cons Overall feedback Your name Your job title Industry [ Choose your main industry](javascript:void%28%29) * [Accounting / CPA](javascript:void%28%29) * [Advertising](javascript:void%28%29) * [Aerospace & Defense](javascript:void%28%29) * [Agriculture](javascript:void%28%29) * [Apparel](javascript:void%28%29) * [Architecture](javascript:void%28%29) * [Auto Dealership](javascript:void%28%29) * [Automotive](javascript:void%28%29) * [Banking & Financial Services](javascript:void%28%29) * [Banking & Mortgage](javascript:void%28%29) * [Chemicals](javascript:void%28%29) * [Construction & Engineering](javascript:void%28%29) * [Construction / Contracting](javascript:void%28%29) * [Consulting](javascript:void%28%29) * [Consumer Products](javascript:void%28%29) * [Distribution](javascript:void%28%29) * [E-commerce](javascript:void%28%29) * [Education](javascript:void%28%29) * [Electronics](javascript:void%28%29) * [Energy & Utilities](javascript:void%28%29) * [Federal Government](javascript:void%28%29) * [Field Maintenance](javascript:void%28%29) * [Food & Beverage](javascript:void%28%29) * [Healthcare / Social Services](javascript:void%28%29) * [Hospitality / Gaming / Travel](javascript:void%28%29) * [Human Resources](javascript:void%28%29) * [Industrial Machinery](javascript:void%28%29) * [Information Technology & High Tech](javascript:void%28%29) * [Insurance](javascript:void%28%29) * [Legal](javascript:void%28%29) * [Maintenance / Field Service](javascript:void%28%29) * [Manufacturing](javascript:void%28%29) * [Marketing Services](javascript:void%28%29) * [Media & Communications / Entertainment](javascript:void%28%29) * [Mill Products](javascript:void%28%29) * [Mining / Metals](javascript:void%28%29) * [Mortgage](javascript:void%28%29) * [Non-Profit](javascript:void%28%29) * [Not Available](javascript:void%28%29) * [Oil & Gas](javascript:void%28%29) * [Other](javascript:void%28%29) * [Other Services](javascript:void%28%29) * [Payroll Provider](javascript:void%28%29) * [Pharmaceuticals](javascript:void%28%29) * [Professional Employer Organization](javascript:void%28%29) * [Professional Services](javascript:void%28%29) * [Property Management](javascript:void%28%29) * [Public Sector](javascript:void%28%29) * [Real Estate](javascript:void%28%29) * [Recruiting Agency](javascript:void%28%29) * [Religious Institutions](javascript:void%28%29) * [Retail](javascript:void%28%29) * [Sales & Marketing](javascript:void%28%29) * [Semiconductors](javascript:void%28%29) * [Software / IT](javascript:void%28%29) * [Sports and Recreation](javascript:void%28%29) * [Staffing Agency](javascript:void%28%29) * [State & Local Government](javascript:void%28%29) * [Telecommunications](javascript:void%28%29) * [Third-Party Administrator](javascript:void%28%29) * [Transportation & Logistics](javascript:void%28%29) * [Wholesale Distribution](javascript:void%28%29) Company Size [ Choose your company size](javascript:void%28%29) * [1 employee](javascript:void%28%29) * [2 to 9 employees](javascript:void%28%29) * [10 - 19 employees](javascript:void%28%29) * [20 - 49 employees](javascript:void%28%29) * [50 - 99 employees](javascript:void%28%29) * [100 - 499 employee](javascript:void%28%29) * [500 - 999 employees](javascript:void%28%29) * [1,000 - 2,499 employees](javascript:void%28%29) * [2,500 - 4,999 employees](javascript:void%28%29) * [5,000 - 9,999 employees](javascript:void%28%29) * [10,000 - 24,999 employees](javascript:void%28%29) * [25,000 - 49,999 employees](javascript:void%28%29) * [50,000 + employees](javascript:void%28%29) ```json { "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://www.selecthub.com/" }, { "@type": "ListItem", "position": 2, "name": "Business Intelligence", "item": "https://www.selecthub.com/category/business-intelligence/" }, { "@type": "ListItem", "position": 3, "name": "Business Intelligence Tools", "item": "https://www.selecthub.com/c/business-intelligence-tools/" }, { "@type": "ListItem", "position": 4, "name": "KNIME" } ] } { "@context": "http://schema.org", "@type": "SoftwareApplication", "name": "KNIME", "description": "KNIME is an open-source end-to-end data analytics solution. It utilizes visual workflows with drag-and-drop functionality and thousands of nodes to lessen the data analytics learning curve data, with more than 1,800 prebuilt default workflows for streamlined setup. It allows for data ingestion, preparing, cleansing, analyzing and visualizing. It can be scaled for deeper analytics through integrations with sophisticated data modeling capabilities. It can be hosted on-premise or in the cloud through Microsoft Azure.", "review": { "@type": "Review","reviewRating": { "@type": "Rating", "ratingValue": 86, "bestRating": 100 }, "author": { "@type": "Person", "name": "Samprit Majumdar", "reviewBody": "KNIME is a robust open-source solution with cross-platform interoperability. It integrates with a range of software, such as JS, R, Python and Spark. With a variety of nodes and functions, it can process large datasets with a decent level of control in each step. Workflows are displayed as connected nodes, making it easy to isolate and fix specific steps. It also contains built-in tools to create and test supervised and unsupervised machine learning models. Users found the UI very intuitive and flexible. On the flip side, they found the tool visually lacking and primitive. The system also has performance and stability issues. Processing big data is very time consuming since the platform isn’t cloud-based. Users reported excessive memory usage as well. It also lacks reporting or monitoring features. Decent technical knowledge is required to fully leverage its capabilities." } }, "image": "https://cdn.selecthub.com/products/f29a179746902e331572c483c45e5086-a8853d8444e01f0cc67fa87581718911/resources/normal/logo.png?1693318075", "aggregateRating": { "@type": "AggregateRating", "ratingValue": "89", "bestRating": "100", "worstRating": "1", "ratingCount": "236" }, "offers": { "@type": "Offer", "priceSpecification": { "@type": "priceSpecification", "price": "99", "priceCurrency": "USD" } }, "positiveNotes": { "@type": "ItemList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Functionality: It provides a comprehensive set of nodes and functions to process large quantities of data, as noted by 69% of users who referred to functionality." }, { "@type": "ListItem", "position": 2, "name": "User Friendly: It is intuitive and easy to use, as noted by 79% of reviewers who refer to ease of use." }, { "@type": "ListItem", "position": 3, "name": "Connectivity: Around 77% of users who talked about connectivity mentioned its ability to seamlessly connect and integrate with multiple sources." } ] }, "negativeNotes": { "@type": "ItemList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Performance: Nearly 95% of reviewers who mentioned performance said that the solution runs slowly and uses too much CPU and memory." }, { "@type": "ListItem", "position": 2, "name": "Visualization: Approximately 67% of users who specified visualization talked about its lack of proper visualization options." }, { "@type": "ListItem", "position": 3, "name": "Support: About 67% of users who reviewed support mentioned how hard it is to get proper documentation or support." } ] }, "applicationCategory": "Business Intelligence Tools" } ```